Discover the power of data

Data is becoming increasingly important for organizations. It helps them make smarter decisions and work more effectively and efficiently. In this six-day course, you'll discover how to collect, store, and present data. You'll learn to work with real-world technologies like Arduino, Excel, and Python, and gain a deep understanding of the world of data. Whether you're a beginner or already have experience, this course offers new knowledge and practical skills you can immediately apply in your work or studies. This way, you'll become an expert in this rapidly growing field!

Would you like to know first whether this course is something for you?

Want to know more?

For more information, please contact

Sabine Hezemans
Course & Contract Coordinator
Email: sabine.hezemans@summaenbedrijf.nl
Phone: +06 31 77 03 36 XNUMX

1. Data collection (2 half days of 4 hours each)

What exactly is data? How do you find it on machines in production environments, and how do you collect it using sensors and Arduino hardware? You'll learn to transform raw data into valuable insights using tools like Excel. Starting with the basics of data analysis, we'll guide you step-by-step through interactive examples and practical exercises, such as working with a temperature sensor and photocells.

2. Data storage (2 half days of 4 hours each)

Explore different data storage methods, both locally and in the cloud. Discover the benefits of cloud storage with platforms like Thingspeak and learn how to securely store and access data. You'll practice saving data to an SD card and configuring programs for real-time data storage. You'll learn how to load programs into an ESP32 development system, then use and modify them to meet your needs.

3. Data cleanup & visualization (2 half days of 4 hours each): 

Master the basics of Python programming and learn how to clean and visualize collected data. Using Pandas and Streamlit, two powerful data analysis tools, you'll process datasets yourself. You'll learn how to calculate peak and average values and how to present results effectively.

All the theory is immediately followed by practical exercises that you'll complete using ESP32-based hardware. So you'll actually get to work with data!